Easy way to understand the Global measures of Spatial Autocorrelations
Author Affiliations
- 1Department of Statistics, Manipal University, Manipal, INDIA
- 2Department of Statistics, Manipal University, Manipal, INDIA
- 3Department of Statistics, Manipal University, Manipal, INDIA
Res. J. Mathematical & Statistical Sci., Volume 3, Issue (6), Pages 1-5, June,12 (2015)
Abstract
Spatial autocorrelation measures the spatial dependency of observations that quantifies the degree of spatial clustering or dispersion in the values of a variable measured across a set of locations. There are two types of spatial autocorrelation measures such as global measures and local measures. In this article we are giving an overview of Moran’s I and Geary’s C (Global measures) along with the steps for manual calculation and R code for the estimation of these measures.
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